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Global Warehouse Management System Market to reach USD 7.30 billion by the end of 2030

Global Warehouse Management System Market Size study & Forecast, by Deployment (Cloud, On-premises), by Type (Standalone, Enterprise Resource Planning Module, Supply Chain Module), by Industry (Retail, Logistics, Healthcare, Manufacturing, Food & Beverages, Chemical, Others) and Regional Analysis, 2023-2030

Product Code: ICTEITS-95776116
Publish Date: 20-10-2023
Page: 200

Global Warehouse Management System Market is valued approximately at USD 2.75 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 13.2% over the forecast period 2023-2030. A Warehouse Management System (WMS) is a software application or platform that helps organizations to effectively manage and control their warehouse operations. It provides real-time information and tools to optimize warehouse processes, inventory management, and logistics activities. The primary goal of a WMS is to facilitate efficient operations within a warehouse environment, enabling businesses to streamline workflows, reduce errors and enhance overall productivity. It typically integrates with various hardware devices, such as barcode scanners, RFID readers, and material handling equipment, to automate and improve the accuracy of data collection and inventory tracking. The Warehouse Management System market is expanding because of factors such as rising e-commerce industry across the globe and surge in adoption of multichannel distribution networks.

The rapid growth of e-commerce has significantly increased the demand for efficient warehousing and fulfillment operations. Warehouse management system helps organizations to optimize their warehouse processes, improve inventory accuracy, and meet the rising expectations of fast and accurate order fulfillment in the e-commerce sector. According to the International Trade Administration, in the year 2019 the global sales from e-commerce industry stood at USD 3354 billion which increased to USD 5424 billion in year 2022 and it is projected to reach at USD 6388 billion by year 2024. These rising sales indicate the rising consumer spending and preference over e-commerce industry. This rising expansion in the e-commerce industry is driving the market growth. In addition, increased demand for cloud-based warehouse management system solutions and the adoption of digital technologies in supply chain management is creating a lucrative market growth opportunity. However, high initial investment setting up on-premises system for SMEs and concerns associated with data privacy as well as information security stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Warehouse Management System Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to factors such as presence of key market players, expansion in e-commerce industry, rising adoption of digital technologies, and rising technological advancement in the region. Whereas, Asia Pacific region is projected to have fastest growth owing to factors such as rising expansion of e-commerce, logistics and warehousing industries, and substantial government investment in logistics and warehousing sector in the region.

Major market player included in this report are:
Microsoft Corporation
Oracle Corporation
Infor Inc.
Manhattan Associates, Inc.
Korber AG
Fishbowl Inventory
Tecsys Inc.
3PL Central LLC
Unicommerce eSolutions Pvt. Ltd.

Recent Developments in the Market:
Ø In May 2023, Mars, Inc. has announced the launch of a brand-new warehouse management system (WMS). The new system has cloud capabilities that offer cost savings because maintaining physical data centers is not necessary. In addition, it can be upgraded yearly rather than every five to seven years, as is the case with physical centers. Furthermore, under the new system’s enhanced task interleaving procedure, all WMS components are programmed to complete jobs as they proceed to their next site.
Ø In September 2022, Pivotree Inc. announces the release of Pivotree Warehouse Management System (WMS), its newest supply chain product offering. The platform is a comprehensive method for housing several establishments and brands with intricate and various commercial operations. It makes use of a shared SaaS infrastructure to expedite expansion by seamlessly extending current business practises and implementations across locations. A headless, biodegradable, cloud-ready architecture was used in the development of the product to create a scalable solution platform.

Global Warehouse Management System Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Deployment, Type, Industry, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Deployment:

By Type:
Enterprise Resource Planning Module
Supply Chain Module

By Industry:
Food & Beverages

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Warehouse Management System Market, by region, 2020-2030 (USD Billion)
1.2.2. Warehouse Management System Market, by Deployment, 2020-2030 (USD Billion)
1.2.3. Warehouse Management System Market, by Type, 2020-2030 (USD Billion)
1.2.4. Warehouse Management System Market, by Industry, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Warehouse Management System Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Warehouse Management System Market Dynamics
3.1. Warehouse Management System Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising e-commerce industry across the globe Surge in adoption of multichannel distribution networks.
3.1.2. Market Challenges High initial investment requirement for setting up on-premises system for SMEs Concerns associated with data privacy as well as information security
3.1.3. Market Opportunities Increase in demand for cloud-based warehouse management system solutions Adoption of digital technologies in supply chain management
Chapter 4. Global Warehouse Management System Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Warehouse Management System Market, by Deployment
5.1. Market Snapshot
5.2. Global Warehouse Management System Market by Deployment, Performance – Potential Analysis
5.3. Global Warehouse Management System Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
5.4. Warehouse Management System Market, Sub Segment Analysis
5.4.1. Cloud
5.4.2. On-premises
Chapter 6. Global Warehouse Management System Market, by Type
6.1. Market Snapshot
6.2. Global Warehouse Management System Market by Type, Performance – Potential Analysis
6.3. Global Warehouse Management System Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
6.4. Warehouse Management System Market, Sub Segment Analysis
6.4.1. Standalone
6.4.2. Enterprise Resource Planning Module
6.4.3. Supply Chain Module
Chapter 7. Global Warehouse Management System Market, by Industry
7.1. Market Snapshot
7.2. Global Warehouse Management System Market by Industry, Performance – Potential Analysis
7.3. Global Warehouse Management System Market Estimates & Forecasts by Industry 2020-2030 (USD Billion)
7.4. Warehouse Management System Market, Sub Segment Analysis
7.4.1. Retail
7.4.2. Logistics
7.4.3. Healthcare
7.4.4. Manufacturing
7.4.5. Food & Beverages
7.4.6. Chemical
7.4.7. Others
Chapter 8. Global Warehouse Management System Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Warehouse Management System Market, Regional Market Snapshot
8.4. North America Warehouse Management System Market
8.4.1. U.S. Warehouse Management System Market Deployment breakdown estimates & forecasts, 2020-2030 Type breakdown estimates & forecasts, 2020-2030 Industry breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Warehouse Management System Market
8.5. Europe Warehouse Management System Market Snapshot
8.5.1. U.K. Warehouse Management System Market
8.5.2. Germany Warehouse Management System Market
8.5.3. France Warehouse Management System Market
8.5.4. Spain Warehouse Management System Market
8.5.5. Italy Warehouse Management System Market
8.5.6. Rest of Europe Warehouse Management System Market
8.6. Asia-Pacific Warehouse Management System Market Snapshot
8.6.1. China Warehouse Management System Market
8.6.2. India Warehouse Management System Market
8.6.3. Japan Warehouse Management System Market
8.6.4. Australia Warehouse Management System Market
8.6.5. South Korea Warehouse Management System Market
8.6.6. Rest of Asia Pacific Warehouse Management System Market
8.7. Latin America Warehouse Management System Market Snapshot
8.7.1. Brazil Warehouse Management System Market
8.7.2. Mexico Warehouse Management System Market
8.8. Middle East & Africa Warehouse Management System Market
8.8.1. Saudi Arabia Warehouse Management System Market
8.8.2. South Africa Warehouse Management System Market
8.8.3. Rest of Middle East & Africa Warehouse Management System Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Microsoft Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Oracle Corporation
9.3.3. Infor Inc.
9.3.4. SAP SE
9.3.5. Manhattan Associates, Inc.
9.3.6. Korber AG
9.3.7. Fishbowl Inventory
9.3.8. Tecsys Inc.
9.3.9. 3PL Central LLC
9.3.10. Unicommerce eSolutions Pvt. Ltd.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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